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This repository was archived by the owner on Dec 24, 2022. It is now read-only.
**UPDATE "Person" SET "FirstName" = 'JJ' WHERE ("LastName" = 'Hendrix')**
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Instead of using the expression filters above you can choose to use an ExpressionVisitor builder which provides more
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flexibility when you want to programatically construct the update statement:
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Instead of using the expression filters above you can choose to use an ExpressionVisitor builder which provides more flexibility when you want to programatically construct the update statement:
**UPDATE "Person" SET "FirstName" = 'JJ' WHERE ("LastName" = 'Hendrix')**
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For the ultimate flexibility we also provide un-typed, string-based expressions. Use the `.Params()` extension method
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escape parameters (inspired by [massive](https://github.com/robconery/massive)):
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For the ultimate flexibility we also provide un-typed, string-based expressions. Use the `.Params()` extension method escape parameters (inspired by [massive](https://github.com/robconery/massive)):
OrmLite's goal is to provide a convenient, DRY, RDBMS-agnostic typed wrapper that retains a high affinity with SQL, exposing an intuitive API that generates predictable SQL and straight-forward mapping to clean disconnected POCO's. This approach makes easier to reason-about your data access as it's obvious what SQL is getting executed at what time, mitigating unexpected behavior, implicit N+1 queries and leaky data access prevalent in Heavy ORMs.
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OrmLite's goal is to provide a convenient, DRY, RDBMS-agnostic typed wrapper that retains a high affinity with SQL, exposing an intuitive API that generates predictable SQL and straight-forward mapping to clean, disconnected (DTO-friendly) POCO's. This approach makes easier to reason-about your data access as it's obvious what SQL is getting executed at what time, mitigating unexpected behavior, implicit N+1 queries and leaky data access prevalent in Heavy ORMs.
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Whilst OrmLite aims to provide a light-weight typed wrapper around SQL, it offers a number of convenient features that makes working with RDBMS's a clean and enjoyable experience:
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